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Author (up) Peng, J.; Liu, Q.; Blaschke, T.; Zhang, Z.; Liu, Y.; Hu, Y.’na; Wang, M.; Xu, Z.; Wu, J. url  doi
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  Title Integrating land development size, pattern, and density to identify urban–rural fringe in a metropolitan region Type Journal Article
  Year 2020 Publication Landscape Ecology Abbreviated Journal Landscape Ecol  
  Volume 35 Issue 9 Pages 2045-2059  
  Keywords Remote Sensing  
  Abstract Context

Located between urban area and rural area, urban–rural fringe is challenged with urbanization related social-ecological problems. Accurately identifying the urban–rural fringe can help to integrated urban–rural development planning, especially in metropolitan region. Among the various case studies to identify the urban–rural fringe, land use degree and impervious surface area are widely used. However, both indexes are only focused on land development size, resulting in coarse identifying results.

Objectives

It is aimed to propose a three-dimensional approach to integrating land development size, pattern and density, in order to accurately identifying the urban–rural fringe.

Methods

Landsat TM and DMSP/OLS datasets were used to establish a three-dimensional index system consisting of land development size (LDS), land development pattern (LDP) and land development density (LDD). Self-Organizing Feature Map (SOFM) was applied to identify the urban–rural fringe of Beijing City, China.

Results

From 2001 to 2009, the inner boundary of the urban–rural fringe had expanded to outside the fifth ring road. Likewise, the outer boundary moved from the fifth to the sixth ring road. The new urban development zone was the main area of urban expansion controlled by urban planning, where the increments of urban–rural fringe was 1273.5 km2, accounting for 75.24% of the whole city. Partial correlation analysis indicated that LDS played a leading role in SOFM clustering, but the spatial continuity of the urban–rural fringe was the best when it was integrated with LDP and LDD, especially the latter to comprehensively define and quantify land development intensity.

Conclusions

The integration of land development size, pattern and density is effective to quantify land development intensity, and thus to identify the urban–rural fringe in metropolitan regions.
 
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  Series Volume Series Issue Edition  
  ISSN 0921-2973 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number UP @ altintas1 @ Serial 3224  
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